Tue 5 Dec 2023 14:15 - 14:30 at Golden Gate C1 - Testing II Chair(s): Brittany Johnson

WeChat, a widely-used messenger app boasting over 1 billion monthly active users, requires effective app quality assurance for its complex features. Record-and-replay tools are crucial in achieving this goal. Despite the extensive development of these tools, the impact of waiting time between replay events has been largely overlooked. On one hand, a long waiting time for executing replay events on fully-rendered GUIs slows down the process. On the other hand, a short waiting time can lead to events executing on partially-rendered GUIs, negatively affecting replay effectiveness. An optimal waiting time should strike a balance between effectiveness and efficiency. We introduce WeReplay, a lightweight image-based approach that dynamically adjusts inter-event time based on the GUI rendering state. Given the real-time streaming on the GUI, WeReplay employs a deep learning model to infer the rendering state and synchronize with the replaying tool, scheduling the next event when the GUI is fully rendered. Our evaluation shows that our model achieves 92.1% precision and 93.3% recall in discerning GUI rendering states in the WeChat app. Through assessing the performance in replaying 23 common WeChat usage scenarios, WeReplay successfully replays all scenarios on the same and different devices more efficiently than the state-of-the-practice baselines.

Tue 5 Dec

Displayed time zone: Pacific Time (US & Canada) change

14:00 - 15:30
14:00
15m
Talk
Statfier: Automated Testing of Static Analyzers via Semantic-preserving Program Transformations
Research Papers
Huaien Zhang Southern University of Science and Technology, The Hong Kong Polytechnic University, Yu Pei Hong Kong Polytechnic University, Junjie Chen Tianjin University, Shin Hwei Tan Concordia University
Media Attached
14:15
15m
Talk
Towards Efficient Record and Replay: A Case Study in WeChat
Industry Papers
Sidong Feng Monash University, Haochuan Lu Tencent, Ting Xiong Tencent Inc., Yuetang Deng Tencent Inc., Chunyang Chen Monash University
DOI Media Attached
14:30
15m
Talk
Contextual Predictive Mutation Testing
Research Papers
Kush Jain Carnegie Mellon University, Uri Alon Carnegie Mellon University, Alex Groce Northern Arizona University, Claire Le Goues Carnegie Mellon University
Media Attached
14:45
15m
Talk
Towards Automated Software Security Testing: Augmenting Penetration Testing through LLMs
Ideas, Visions and Reflections
Media Attached
15:00
7m
Talk
LazyCow: A Lightweight Crowdsourced Testing Tool for Taming Android Fragmentation
Demonstrations
Xiaoyu Sun Australian National University, Australia, Xiao Chen Monash University, Yonghui Liu Monash University, John Grundy Monash University, Li Li Beihang University
Media Attached
15:08
7m
Talk
Rotten Green Tests in Google Test
Industry Papers
DOI Media Attached
15:15
15m
Talk
MuAkka: Mutation Testing for Actor Concurrency in Akka Using Real-World Bugs
Research Papers
Mohsen Moradi Moghadam Oakland University, Mehdi Bagherzadeh Oakland University, Raffi Khatchadourian City University of New York (CUNY) Hunter College, Hamid Bagheri University of Nebraska-Lincoln
Pre-print Media Attached